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Remote Data Engineering Jobs in Florida (NOW HIRING)

Data Engineering

Tampa, FL · Remote

$104.20K - $125.10K/yr

Data Engineering Remote Data Engineer with API As a Senior Engineer, you will be responsible for using your technical knowledge to solve business problems. We are looking for a talented individual ...

Data Engineer

Tampa, FL · Remote

$104.20K - $125.10K/yr

Data Engineer Duration: 12+ Months Contract Location: 100% Remote Role Job Summary • Seeking an experienced Data Architect to lead and shape our GenAI Insights team. • This role will focus on ...

Data Engineer

Jacksonville, FL · On-site +1

$106.10K - $127.40K/yr

Data Engineer We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Remote * Type: Full-time * Reports to: Director of Engineering * Salary Based on Experience

Senior Data Engineer - REMOTE

Sunrise, FL · On-site +1

$99.10K - $134.60K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our ... Partner with Product and Engineering to build scalable systems that help unlock the value of data ...

Sr Data Engineer

Plantation, FL · Remote

$109.10K - $131K/yr

EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Sr Data Engineer

Plantation, FL · Remote

$113.70K - $136.60K/yr

EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

... remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform. This is a fantastic ...

Mid-level Data Engineer

Orlando, FL · On-site +1

$106.90K - $128.40K/yr

Hybrid Orlando, FL only (Monday - Wednesday on site T&F remote) We're seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making across the organization.

Mid-level Data Engineer

Orlando, FL · On-site +1

$106.90K - $128.40K/yr

Mid-level Data Engineer Hybrid Orlando, FL only (Monday - Wednesday on site T&F remote) We're seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making ...

AI Data Architect

Tallahassee, FL · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

Senior Data Engineer

Orlando, FL · Remote

$99K - $134.40K/yr

Onsite M-Th, and remote on Fridays. Must haves: (no exceptions) * Tech Stack: Heavy Snowflake/SQL ... The DDSI Data Engineering (DE) team is seeking a Data Engineer to design, develop, enhance, and ...

Data Engineer II

Miami, FL · On-site +1

$109.50K - $131.50K/yr

This is a remote role at this time but will require hybrid work in Miami, Florida by end of this ... Engineering & Analytics team, you will develop data & analytics solutions that sit atop vast ...

GCP Data Engineer

Tampa, FL · Remote

$104.20K - $125.10K/yr

Would love someone in Chicago, would take someone remote. 10+ years experience. Waiting on rate information Client - JOB TITLE: GCP Data Engineer POSITION SUMMARY: The GCP Data Engineer is ...

We believe AI can only perform as well as the data it's trained on. That's why we work with ... We've built a best-in-class remote work platform for our freelance contributors to provide valuable ...

Senior Data Engineer

Tampa, FL · On-site +1

$65 - $75/hr

Remote Interview Process/# of Rounds: 1st round technical screening via Teams Video; 2nd round technical panel / system deep dive with the engineering team - OFFER JD: Job Title: Data Engineering ...

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Remote Data Engineering information

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What cities in Florida are hiring for Remote Data Engineering jobs? Cities in Florida with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Florida as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 82% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineering

Kasmo Global

Tampa, FL • Remote

$104.20K - $125.10K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineering
Remote
Data Engineer with API
As a Senior Engineer, you will be responsible for using your technical knowledge to solve business problems. We are looking for a talented individual that can serve as a subject matter expert in their area of focus and represent their department on complex assignments. You will be responsible for evaluating elements of technologies effectiveness through requirements gathering, testing, research and investigation and make recommendations for improvements that result in increased quality and effectiveness. You will be required to listen to and evaluate customer needs to determine and provide high quality solutions that align with customer expectations.
In this role on the Cloud Data Engineering team, you will be a part of a team responsible for migrating existing data platform solutions to the cloud. You will also collaborate with others to develop new data pipelines. As a data engineer in the Cloud Data Engineering team, you will need to work in a data first mindset. You will use Microsoft Azure Cloud PaaS technologies to engineer our data solutions in a way that allows for us to optimize our information, make better decisions, and meet our customer's needs. If you have a passion for engineering, working with massive amounts of data and empowering smart business decisions, this is the role for you.
• Data Engineer with Experience with API development and support of Azure functions written in Python
• 3+ yrs development experience in one of the following languages: Python and/or Azure SQL
• 3+ yrs data engineering experience working with large datasets and complex data environments, processes, and associated solutions
• 3+ yrs experience writing and tuning complex SQLs, and the ability to analyze and make recommendations on results
• 3+ yrs experience in full lifecycle development and end-to-end testing
• Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps
• Must have good troubleshooting and problem-solving skills, including debugging multi-threaded applications
• Experience with configuration management and build automation capabilities such as Git/Jenkins
• Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives
• Must be able to both collaborate in a team-oriented environment and work independently with direction